Experimental Evaluation of Fuzzy-Integral and Classical controls for Power Management in a 24 GHz mmWave 5G Transceiver

Abstract

The deployment of 5G millimeter-wave (mmWave) systems poses significant challenges in maintaining power amplifier linearity and efficiency under varying conditions, such as temperature-induced gain variations that degrade error vector magnitude (EVM). This paper presents a comparative study of three control strategies-PID, pure integral, and fuzzy-integral (FI)-for adaptive power management in a 24 GHz mmWave transceiver. The FI controller integrates fuzzy logic for handling nonlinearities with integral action for zero steady-state error. Experimental results show the FI controller outperforms others in settling time, stability, and EVM minimization.